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The purpose of this paper is to unveil the efficacy of coaching leadership within Chinese organizations and bolster employees’ work engagement.

The sample data were collected through employing the questionnaire method. The participants consisted of 234 employees and 53 supervisors in Chinese enterprises. Hypothesis testing was conducted using multiple regression analysis and the Bootstrap method.

The coaching leadership exhibited a positive association with employees’ work engagement, psychological safety and self-efficacy. It was observed that employees’ psychological safety and self-efficacy played a dual-mediation role between coaching leadership and work engagement. Additionally, employees with power distance orientation (POD) amplified the positive effects of coaching leadership on psychological safety and self-efficacy.

This study contributes to the literature on coaching leadership and work engagement by elucidating their direct influence, as well as the dual-mediating roles of psychological safety and self-efficacy. Besides, our findings underscore the moderating effect of POD in amplifying the impacts of coaching leadership. However, the nonlongitudinal survey design adopted by our study should be noted for its potential limitations in establishing causality.

The findings demonstrate that coaching leadership, psychological safety and self-efficacy play a crucial role in fostering work engagement. Employees with higher POD are more likely to benefit from coaching leaders.

This study contributes to coaching leadership literature and provides insights into how and when coaching leadership affects work engagement in Chinese organizations.

The purpose of this paper is to reveal the dynamic contact characteristics of the slip ring. Dynamic contact resistance models considering wear and self-excited were established based on fractal theory.

The effects of tangential velocity, stiffness and damping coefficient on dynamic contact resistance are studied. The relationships between fractal parameters, wear time and contact parameters are revealed.

The results show that the total contact area decreases with the friction coefficient and fractal roughness under the same load. Self-excited vibration occurs at a low speed (less than 0.6 m/s). It transforms from stick-slip motion at 0.4 m/s to pure sliding at 0.5 m/s. A high stiffness makes contact resistance fluctuate violently, while increasing the damping coefficient can suppress the self-excited vibration and reduce the dynamic contact resistance. The fractal contact resistance model considering wear is established based on the fractal parameters models. The validity of the model is verified by the wear tests.

The results have a great significance to study the electrical contact behavior of conductive slip ring.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2023-0300/

Micro-texture is processed on the surface to reduce the friction of the contact surface, and its application is more and more extensive. The purpose of this paper is to create a texture function model to study the influence of surface parameters on the accuracy of the simulated surface so that it can more accurately reflect the characteristics of the real micro-textured surface.

The microstructure function model of rough surfaces is established based on fractal geometry and polar coordinate theory. The offset angle θ is introduced into the fractal geometry function to make the surface asperity normal perpendicular to the tangent of the surface. The 2D and 3D contour surfaces of the surface groove texture are analyzed by MATLAB simulation. The effects of fractal parameters (D and G) and texture parameter h on the curvature of the surface micro-texture model were studied.

This paper more accurately characterizes the textured 3D curved surface, especially the surface curvature. The scale coefficient G significantly affects curvature, and the influence of fractal dimension D and texture parameters on curvature can be ignored.

The micro-texture model of the rough surface was successfully established, and the range of fractal parameters was determined. It provides a new method for the study of surface micro-texture tribology.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2023-0298/

Organizational research on diversity, equity, and inclusion (DEI) is at times siloed; the experience of one minoritized or underrepresented group is treated as completely separate and different from the experience of another group and thus research separately. For example, there are terms that are studied only in the context of one group, and a different term is used to study a very similar (or identical) concept among a different group. Indeed, there are many unique experiences that specific minority groups encounter at work. Because of this end, minority groups should not be fully categorized together, and their individual should not be erased. However, there are shared experiences that many or all minorities experience at work, whether they are a gender minority, racial minority, or a member of any other minoritized group. Recognizing these shared experiences can help scholars develop a deeper understanding of what it's like to be minoritized or underrepresented at work, and therefore help to better serve these communities. To this end, our chapter highlights three such shared but unique minority experiences: three experiences that are common across all minority groups but operationalize slightly differently in different populations. The first experience we discuss is discrimination, as all minorities typically experience some form of negative differential treatment at work. The second experience we discuss is identity management, as many minorities need to actively think about how they present their minority identity to others (regardless of if their identity is “concealable” or not). Finally, we discuss strength through adversity, as many minorities argue that their minority identity is a source of strength and an area that benefits them at work. We conclude the chapter with a call toward intraminority solidarity, suggesting that recognizing shared experiences and working together can help build better workplaces for all minority employees.

The aim of this study is to investigate the effects of Al₂O₃ mass fraction on the corrosive-wear and electrochemical performance of NiTi coating in 3.5% NaCl solution.

The NiTi–xAl₂O₃ coatings were fabricated on S355 steel by laser cladding, and their corrosive-wear and electrochemical performance were investigated using a wear tester and electrochemical workstation, respectively.

The wear rates of NiTi–5%Al₂O₃, –10%Al₂O₃ and –15%Al₂O₃ coatings are 82.33, 54.23 and 30.10 µm³ mm⁻¹ N⁻¹, respectively, showing that the wear resistance of NiTi–15%Al₂O₃ coating is the best. The wear mechanism is abrasive wear, which is attributed to the increase of coating hardness by the Al₂O₃ addition. The polarization resistance of NiTi–5%Al₂O₃, –10%Al₂O₃ and –15%Al₂O₃ coatings is 3,639, 5,125 and 10,024 O cm², respectively, exhibiting that the NiTi–15% Al₂O₃ coating has the best corrosion resistance.

The roles of Al₂O₃ in the corrosive-wear and electrochemical performance of NiTi–xAl₂O₃ coating were revealed through the experimental investigation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0044/

This paper aims to investigate the application of 3D printing technology, particularly using sand-type materials, in the creation of artificial rock models for rock mechanics experimentation.

Using a comprehensive analysis, this research explores the utilization of 3D printing technology in rock mechanics. Sand-type materials are specifically investigated for their ability to replicate natural rock characteristics. The methodology involves a review of recent achievements and experimentation in this field.

The study reveals that sand-type 3D printing materials demonstrate comparable properties to natural rocks, including brittle characteristics, surface roughness, microstructural features and crack propagation patterns.

While the research establishes the viability of sand-type 3D printing materials, it acknowledges limitations such as the need for further exploration and validation. Generalizability may be constrained, warranting additional research to address these limitations.

This research contributes insights into the potential application of sand-type 3D printing materials in indoor rock physics experiments. The findings may guide future endeavors in fabricating rock specimens with consistent structures for practical rock mechanics applications.

The purpose of this study is to develop nature-inspired 3D surfaces for atmospheric water harvesting.

Initially, cylindrical-shaped protrusions were produced utilizing a 3D printer to obtain a surface with a high surface area. Subsequently, an electrospraying technique was employed to coat the tips of these hydrophobic protrusions with hydrophilic nano-scale particles and fibers, utilizing polyamide 6 (PA6) or PA6/chitosan (CH) blends. In the next stage of the study, the impact of protrusion shape was investigated by fabricating surfaces with cylindrical, conical and tree-shaped protrusions. Following the production of 3D surfaces, PA6 was electrosprayed onto the protrusions to achieve varied wettability patterns on the 3D surface. Finally, the water collection rates and capacities of the surfaces were evaluated.

Water collection tests demonstrated that PA6-coated surfaces exhibited greater water collection capacity compared to untreated surfaces. Furthermore, the addition of CH enhanced the water collecting efficiency of the 3D surface. It was found that the shape of the protrusions significantly influenced water collection capacity. Particularly, cone-shaped protrusions exhibited the highest water collecting capability among the different shapes tested.

In this study, 3D printing and electrospraying techniques were combined to create 3D surfaces characterized by high surface area, along with hydrophilic and hydrophobic regions to produce superior surfaces for atmospheric water harvesting.

This paper aims to explore the matching effect of hospitality brand image (cool vs non-cool) and service agents (Artificial intelligence [AI] vs human staff) on brand attitude, with a focus on assessing the role of feeling right as a mediator and service failure as a moderator.

This paper tested the hypotheses through three experiments and a Supplementary Material experiment, which collectively involved 835 participants.

The results indicated that the adoption of AI by cool brands can foster the right feeling and enhance consumers’ positive brand attitudes. In contrast, employing human staff did not lead to improved brand attitudes toward non-cool brands. Furthermore, the study found that service failure moderated the matching effect between service agents and cool brand images on brand attitude. The matching effect was observed under successful service conditions, but it disappeared when service failure occurred.

The findings offer practical guidance for hospitality companies in choosing service agents based on brand image. Cool brands can swiftly transition to AI, reinforcing their modern, cutting-edge image. Traditional brands may delay AI adoption or integrate it strategically with human staff.

To the best of the authors’ knowledge, this paper represents one of the first studies to address the issue of selecting the optimal service agent based on hospitality brand image. More importantly, it introduces the concept of a cool hospitality brand image as a boundary condition in the framework of AI research, providing novel insights into consumers’ ambivalent responses to AI observed in previous studies.

This article aims to investigate the impact of the Lesson Study (LS) model on students' mathematics achievement and attitudes toward mathematics.

The study employs a concurrent embedded design, a type of mixed methods design. Within this framework, a quantitative pretest-posttest control group quasi-experimental design is applied for quantitative data, while qualitative data is gathered through interviews and observations. A 2×2 mixed ANOVA is used for the analysis of quantitative data, and content analysis is employed for qualitative data analysis.

The findings reveal that the LS model has a significant positive impact on the mathematics achievement and attitudes of students in the experimental group. Quantitative analysis shows a meaningful improvement in mathematics achievement for the experimental group, which is notably superior than the control group. Additionally, students in the experimental group found mathematics lessons more enjoyable and easier, and their attitudes toward mathematics improved positively. Students' feedback supports these results, with many expressing that LS-based lessons were more engaging and effective. Observations by the researcher, mathematics expert and teacher in the experimental group also corroborate these positive changes.

The results of the study suggest that the LS model should be more widely implemented in mathematics education. This recommendation highlights the potential of the LS model to enhance the teaching process and improve students' mathematics achievement. Furthermore, the study also indicates that LS has a positive impact on students' attitudes toward mathematics, as evidenced by their increased motivation and more positive outlook toward the subject. These findings underscore the LS model’s effectiveness in both improving academic performance and transforming students' attitudes toward mathematics.

Under the background of coexistence of information overload and information fragmentation, it is of great significance to identify influencing factors and reveal the evolution logic of public opinion for public opinion governance.

Taking 24 hot social events as research cases, firstly, the evolution process of public opinion was divided into initial stage and response stage. Secondly, eight antecedent variables were extracted for qualitative comparative analysis of fuzzy sets. Finally, the configuration path of public opinion evolution results was summarized.

The research showed that compared with the initial stage, the influencing factors in the reaction stage played a key role in the continuous evolution of public opinion. The influencing factors in the initial stage and response stage played an indispensable role in promoting the evolution of public opinion to calm down.

This research can provide reference for regulators to timely grasp the initiative, discourse power and leadership of public opinion development.

Research on the two-stage configuration path of public opinion evolution is helpful to clarify the key factors affecting the evolution trend of online public opinion of hot events.